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AWS ECR scanner reference

You can scan your container images using Amazon Elastic Container Registry (ECR).

Before you begin​

Docker-in-Docker requirements​

note

Docker-in-Docker is not required for ingestion workflows where the scan data has already been generated.

You need to include a Docker-in-Docker background service in your stage if either of these conditions apply:

  • You configured your scanner using a generic Security step rather than a scanner-specific template such as Aqua Trivy, Bandit, Mend, Snyk, etc.
  • You’re scanning a container image using an Orchestration or Extraction workflow.
Set up a Docker-in-Docker background step

  1. Go to the stage where you want to run the scan.

  2. In Overview, add the shared path /var/run.

  3. In Execution, do the following:

    1. Click Add Step and then choose Background.
    2. Configure the Background step as follows:
      1. Dependency Name = dind
      2. Container Registry = The Docker connector to download the DinD image. If you don't have one defined, go to Docker connector settings reference.
      3. Image = docker:dind
      4. Under Optional Configuration, select the Privileged checkbox.
Configure the background step

Root access requirements​

You need to run the scan step with root access if either of the following apply:

  • You need to run a Docker-in-Docker background service. This is required in the following scenarios only:

    • You're using a generic Security step to run an Orchestrated or Extraction scan, rather than a scanner-specific step such as Aqua Trivy, Bandit, etc. (not required for Ingestion scans).

    • You're scanning a container image using an Orchestrated or Extraction scan (not required for Ingestion scans).

  • You need to add trusted certificates to your scan images at runtime.

note

You can set up your STO scan images and pipelines to run scans as non-root and establish trust for your own proxies using self-signed certificates. For more information, go to Configure STO to Download Images from a Private Registry.

AWS ECR step configuration​

The recommended workflow is add an AWS ECR step to a Security Tests or CI Build stage and then configure it as described below. You can also configure scans programmatically by copying, pasting, and editing the YAML definition.

note
  • UI configuration support is currently limited to a subset of scanners. Extending UI support to additional scanners is on the Harness engineering roadmap.
  • Each scanner template shows only the options that apply to a specific scan. If you're setting up a repository scan, for example, the UI won't show Container Image settings.
  • Docker-in-Docker is not required for these steps unless you're scanning a container image. If you're scanning a repository using Bandit, for example, you don't need to set up a Background step running DinD.
  • Support is currently limited to Kubernetes and Harness Cloud AMD64 build infrastructures only.

Scan settings​

Scan Mode​

  • Extraction A partially-orchestrated scan. The Security step pulls scan results from an external SaaS service and then normalizes and compresses the data.

Scan Configuration​

The predefined configuration to use for the scan. All scan steps have at least one configuration.

Target Settings​

Type​

  • Container Image Scan the layers, libraries, and packages in a container image.

Name​

The Identifier that you want to assign to the target you’re scanning in the pipeline. Use a unique, descriptive name such as codebaseAlpha or jsmith/myalphaservice. Using descriptive target names will make it much easier to navigate your scan data in the STO UI.

Variant​

An identifier for a specific variant to scan, such as the branch name or image tag. This identifier is used to differentiate or group results for a target. Harness maintains a historical trend for each variant.

You can see the target name, type, and variant in the Test Targets UI:

Target name, type, and branch

Container Image settings​

Type (orchestration)​

The registry type where the image is stored:

Domain (extraction)​

The URL of the artifact repository that contains the image to scan. Examples:

  • docker.io
  • app.harness.io/registry
  • us-east1-docker.pkg.dev
  • us.gcr.io

Name​

The image name. For non-local images, you also need to specify the image repository. Example: jsmith/myalphaservice

Tag​

The image tag. Examples: latest, 1.2.3

Region​

The region where the image to scan is located, as defined by the cloud provider such as AWS.

Authentication settings​

Access ID (orchestration)​

Username to log in to the scanner.

Access Token​

The access token to log in to the scanner. In most cases this is a password or an API key.

You should create a Harness text secret with your encrypted token and reference the secret using the format <+secrets.getValue("project.container-access-id")>. For more information, go to Add and Reference Text Secrets.

Access Region​

The AWS region of the image to scan.

Ingestion settings​

Ingestion File​

The results data file to use when running an Ingestion scan.

Generally an Ingestion scan consists of a scan step (to generate the data file) and an ingestion step (to ingest the data file).

In addition to ingesting scan data in the external scanner's native format, STO steps can also ingest data in SARIF and Harness Custom JSON format.

For more information, go to Ingest Scan Results into an STO Pipeline.

Log Level, CLI flags, and Fail on Severity​

Log Level​

The minimum severity of the messages you want to include in your scan logs. You can specify one of the following:

  • DEBUG
  • INFO
  • WARNING
  • ERROR

Fail on Severity​

Every Security step has a Fail on Severity setting. If the scan finds any vulnerability with the specified severity level or higher, the pipeline fails automatically. You can specify one of the following:

  • CRITICAL
  • HIGH
  • MEDIUM
  • LOW
  • INFO
  • NONE — Do not fail on severity

The YAML definition looks like this: fail_on_severity : critical # | high | medium | low | info | none

Additional Configuration​

In the Additional Configuration settings, you can use the following options:

Advanced settings​

In the Advanced settings, you can use the following options: